Soil & Water Res., 2017, 12(2):69-77 | DOI: 10.17221/222/2015-SWR

Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall.Original Paper

Michaela Hrabalíková1, 2, Miloslav Janeček1
1 Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic
2 Department of Soil Science and Soil Protection, Research Institute for Soil and Water Conservation, Prague-Zbraslav, Czech Republic

Geographic Information Systems (GIS) in combination with soil loss models can enhance evaluation of soil erosion estimation. SAGA and ARC/INFO geographic information systems were used to estimate the topographic (LS) factor of the Universal Soil Loss Equation (USLE) that in turn was used to calculate the soil erosion on a long-term experimental plot near Prague in the Czech Republic. To determine the influence of a chosen algorithm on the soil erosion estimates a digital elevation model with high accuracy (1 × 1 m) and a measured soil loss under simulated rainfall were used. These then provided input for five GIS-based and two manual procedures of computing the combined slope length and steepness factor in the (R)USLE. The results of GIS-based (R)USLE erosion estimates from the seven procedures were compared to the measured soil loss from the 11 m long experimental plot and from 38 rainfall simulations performed here during 15 years. The results indicate that the GIS-based (R)USLE soil loss estimates from five different approaches to calculation of LS factor are lower than the measured average annual soil loss. The two remaining approaches over-predicted the measured soil loss. The best method for LS factor estimation on field scale is the original manual method of the USLE, which predicted the average soil loss with 6% difference from the measured soil loss. The second method is the GIS-based method that concluded a difference of 8%. The results of this study show the need for further work in the area of soil erosion estimation (with particular focus on the rill/interrill ratio) using the GIS and USLE. The study also revealed the need for an application of the same approach to catchment area as it might bring different outcomes.

Keywords: geographic information systems; topographic factor; universal soil loss equation; water erosion

Published: June 30, 2017  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Hrabalíková M, Janeček M. Comparison of different approaches to LS factor calculations based on a measured soil loss under simulated rainfall. Soil & Water Res.. 2017;12(2):69-77. doi: 10.17221/222/2015-SWR.
Download citation

References

  1. Desmet P.J.J., Govers G. (1996): A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. Journal of Soil and Water Conservation, 51: 427-433.
  2. Desmet P.J.J., Govers G. (1997): Comment on "Modelling topographic potential for erosion and deposition using GIS". International Journal of Geographical Information Science, 11: 603-610. Go to original source...
  3. Florinsky I.V. (1998): Accuracy of local topographic variables derived from digital elevation models. International Journal of Geographical Information Science, 12: 47-61. Go to original source...
  4. Foster G.R., Wischmeier Wh. (1974): Evaluating irregular slopes for soil loss prediction. Transactions of the ASAE, 17: 305-309. Go to original source...
  5. Freeman T.G. (1991): Calculating catchment area with divergent flow based on a regular grid. Computers & Geosciences, 17: 413-422. Go to original source...
  6. Fu G.B., Chen S.L., McCool D.K. (2006): Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS. Soil & Tillage Research, 85: 38-49. Go to original source...
  7. Garcia Rodriguez J.L., Gimenez Suarez M.C. (2010): Historical review of topographical factor, LS, of water erosion models. Aqua-LAC, 2: 55-61. Go to original source...
  8. Griffin M.L., Beasley D.B., Fletcher J.J., Foster G.R. (1988): Estimating soil loss on topographically non-uniform field and farm units. Journal of Soil and Water Conservation, 43: 326-331.
  9. Hengl T., Reuter H.I. (2008): Geomorphometry: Concepts, Software, Applications. Amsterdam, Elsevier.
  10. Hickey R. (2000): Slope angle and slope length solutions for GIS. Cartography, 29: 1-8. Go to original source...
  11. Kadlec V., Holubík O., Procházková E., Urbanová J., Tippl M. (2012): Soil organic carbon dynamics and its influence on the soil erodibility factor. Soil and Water Research, 7: 97-108. Go to original source...
  12. Karydas C.G., Panagos P., Gitas I.Z. (2014): A classification of water erosion models according to their geospatial characteristics. International Journal of Digital Earth, 7: 229-250. Go to original source...
  13. Kinnell P.I.A. (2008): Sediment delivery from hillslopes and the Universal Soil Loss Equation: some perceptions and misconceptions. Hydrological Processes, 22: 3168-3175. Go to original source...
  14. Kovář P., Vaššová D., Janeček M. (2012): Surface runoff simulation to mitigate the impact of soil erosion, case study of Trebsin (Czech Republic). Soil and Water Research, 7: 85-96. Go to original source...
  15. Liu B.Y., Nearing M.A., Risse L.M. (1994): Slope gradient effects on soil loss for steep slopes. Transactions of the ASAE, 37: 1835-1840. Go to original source...
  16. Liu B.Y., Nearing M.A., Shi P.J., Jia Z.W. (2000): Slope length effects on soil loss for steep slopes. Soil Science Society of America Journal, 64: 1759-1763. Go to original source...
  17. Liu K., Tang G., Jiang L., Zhu A.X., Yang J., Song X. (2015): Regional-scale calculation of the LS factor using parallel processing. Computers & Geosciences, 78: 110-122. Go to original source...
  18. McCool D.K., Foster G.R., Mutchler C.K., Meyer L.D. (1989): Revised slope length factor for the Universal Soil Loss Equation. Transactions of the ASAE, 32: 1571-1576. Go to original source...
  19. Mitasova H., Hofierka J., Zlocha M., Iverson L. (1997): Modelling topographic potential for erosion and deposition using GIS - Reply. International Journal of Geographical Information Science, 11: 611-618. Go to original source...
  20. Mitasova H., Hofierka J., Zlocha M., Iverson L.R. (1996): Modelling topographic potential for erosion and deposition using GIS. International Journal of Geographical Information Systems, 10: 629-641. Go to original source...
  21. Moore I.D., Burch G.J. (1986): Physical basis of the lengthslope factor in the Universal Soil Loss Equation. Soil Science Society of America Journal, 50: 1294-1298. Go to original source...
  22. Moore I.D., Wilson J.P. (1992): Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal of Soil and Water Conservation, 47: 423-428.
  23. Moore I.D., Grayson R.B., Ladson A.R. (1991): Digital terrain modelling: A review of hydrological, geomorphological, and biological applications. Hydrological Processes, 5: 3-30. Go to original source...
  24. Nearing M.A. (1997): A single, continuous function for slope steepness influence on soil loss. Soil Science Society of America Journal, 61: 917-919. Go to original source...
  25. Oliveira A.H., Silva M.A.d., Silva M.L.N., Curi N., Neto G.K., Freitas D.A.F.d. (2013): Development of topographic factor modeling for application in soil erosion models. In: Soriano M.C.H. (ed.): Soil Processes and Current Trends in Quality Assessment. Rijeka, INTECH.
  26. Quinn P.F., Beven K.J., Lamb R. (1995): The ln(a/tan-beta) index - How to calculate it and how to use it within the TOPMODEL framework. Hydrological Processes, 9: 161-182. Go to original source...
  27. Renard K.G. (1997): Predicting Soil Erosion by Water : A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Washington, D.C., USDA, Agricultural Research Service.
  28. Tarboton D.G. (1997): A new method for the determination of flow directions and upslope areas in grid digital elevation models. Water Resources Research, 33: 309-319. Go to original source...
  29. Tetzlaff B., Wendland F. (2012): Modelling sediment input to surface waters for German states with MEPhos: Methodology, sensitivity and uncertainty. Water Resources Management, 26: 165-184. Go to original source...
  30. Truman C.C., Wauchope R.D., Sumner H.R., Davis J.G., Gascho G.J., Hook J.E., Chandler L.D., Johnson A.W. (2001): Slope length effects on runoff and sediment delivery. Journal of Soil and Water Conservation, 56: 249-256.
  31. Van Remortel R.D., Hamilton M.E., Hickey R.J. (2001): Estimating the LS Factor for RUSLE through iterative slope length processing of digital elevation data within Arclnfo Grid. Cartography, 30: 27-35. Go to original source...
  32. Van Remortel R.D., Maichle R.W., Hickey R.J. (2004): Computing the LS factor for the Revised Universal Soil Loss Equation through array-based slope processing of digital elevation data using a C++ executable. Computers & Geosciences, 30: 1043-1053. Go to original source...
  33. Walling D.E. (2005): Tracing suspended sediment sources in catchments and river systems. Science of The Total Environment, 344: 159-184. Go to original source... Go to PubMed...
  34. Wilson J.P., Mitasova H., Wright D.J. (2000): Water resources applications of Geographic Information Systems. Urisa Journal, 12: 61-79.
  35. Wischmeier W.H., Smith D.D. (1965): Predicting Rainfall - Erosion Losses from Cropland East of the Rocky Mountains: Guide for Selection of Practices for Soil and Water Conservation. Washington, D.C., USDA, Agricultural Research Service.
  36. Wischmeier W.H., Smith D.D. (1978): Predicting Rainfall Erosion Losses : a Guide to Conservation Planning, Purdue University. Washington, D.C., Agricultural Experiment Station, Science and Education Administration.
  37. WRB (2006): World Reference Base for Soil Resources: a Framework for International Classification, Correlation and Communication. Rome, FAO.
  38. Yitayew M., Pokrzywka S.J., Renard K.G. (1999): Using GIS for facilitating erosion estimation. Applied Engineering in Agriculture, 15: 295-301. Go to original source...
  39. Zevenbergen L.W., Thorne C.R. (1987): Quantitative analysis of land surface topography. Earth Surface Processes and Landforms, 12: 47-56. Go to original source...
  40. Zhang H., Yang Q., Li R., Liu Q., Moore D., He P., Ritsema C.J., Geissen V. (2013): Extension of a GIS procedure for calculating the RUSLE equation LS factor. Computers & Geosciences, 52: 177-188. Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.